Guen Prawiroatmodjo
Employers on the program
- 2024–2025MotherDuck3 talks
- 2023Microsoft1 talk
Appearances by year
- SciPy Conference (Scientific Computing with Python)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 7, 2025 | SciPy 2025 | SciPy Conference (Scientific Computing with Python) | tutorial | All the SQL a Pythonista needs to know: an introduction to SQL and DataFrames with DuckDB as MotherDuck Structured Query Language (or SQL for short) is a programming language to manage data in a database system and an essential part of any data engineer’s tool…Show lessStructured Query Language (or SQL for short) is a programming language to manage data in a database system and an essential part of any data engineer’s tool kit. In this tutorial, you will learn how to use SQL to create databases, tables, insert data into them and extract, filter, join data or make calculations using queries. | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | tutorial | All the SQL a Pythonista needs to know: an introduction to SQL and DataFrames with DuckDB as MotherDuck Structured Query Language (or SQL for short) is a programming language to manage data in a database system and an essential part of any data engineer’s tool…Show lessStructured Query Language (or SQL for short) is a programming language to manage data in a database system and an essential part of any data engineer’s tool kit. In this tutorial, you will learn how to use SQL to create databases, tables, insert data into them and extract, filter, join data or make calculations using queries. | |
| Jul 8, 2024 | SciPy 2024 | SciPy Conference (Scientific Computing with Python) | speaker | How to bootstrap a Data Warehouse with DuckDB as MotherDuck A Data Warehouse (DW) is a powerful tool to manage your scientific data, training data, logs, or any other type of relational data. Most Data Warehouses are…Show lessA Data Warehouse (DW) is a powerful tool to manage your scientific data, training data, logs, or any other type of relational data. Most Data Warehouses are cloud-based and built to scale to petabyte workflows, but might not be optimal for smaller workloads that need a fast iteration cycle. | |
| Jul 10, 2023 | SciPy 2023 | SciPy Conference (Scientific Computing with Python) | tutorial | Meet your coding best friend: VS Code💖 - A hands-on tutorial on how to get the most out of the world’s most popular Python editor as Microsoft Quantum Visual Studio Code (VS Code) is a free code editor that runs on Windows, Linux, macOS and in your browser. This tutorial aims at Python programmers of all…Show lessVisual Studio Code (VS Code) is a free code editor that runs on Windows, Linux, macOS and in your browser. This tutorial aims at Python programmers of all levels who are already using VS Code or are interested in doing so, and will take them from zero (installing VS Code) to a production setup for Python development. |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Alex Monahan | 3 | 3 | 2025 |
| Sarah Kaiser | 3 | 1 | 2025 |
| Ana Comesana | 3 | — | 2025 |
| Bane Sullivan | 3 | — | 2025 |
| Brigitta Sipőcz | 3 | — | 2025 |
| C.A.M. Gerlach | 3 | — | 2025 |
| Henry Fredrick Schreiner III | 3 | — | 2025 |
| Jon Mease | 3 | — | 2025 |
| Juanita Gomez | 3 | — | 2025 |
| Leo Fang | 3 | — | 2025 |
| Madicken | 3 | — | 2025 |
| Naty Clementi | 3 | — | 2025 |
| Negin Sobhani | 3 | — | 2025 |
| Scott Henderson | 3 | — | 2025 |
| Tetsuo Koyama | 3 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.